Data Engineer

Key Responsibilities • Design, develop and maintain scalable data pipelines and data ingestion frameworks for large-volume datasets. • Develop data transformation and processing applications using Apache Spark, PySpark, Scala and Python . • Build and optimize data pipelines using Azure Databricks, Azure Data Factory, AWS EMR and related cloud services. • Work with Hadoop, HDFS, Hive, Snowflake, Teradata and Data Lake environments. • Develop batch and real-time data processing solutions using Spark Structured Streaming and Kafka . • Perform data extraction, transformation and loading across heterogeneous source and target systems. • Develop and optimize Spark SQL, HiveQL and SQL queries for performance and cost efficiency. • Design data models, partitioning strategies and scalable data storage architectures. • Build and manage workflow orchestration using Apache Airflow . • Implement CI/CD pipelines and automated testing using tools such as Jenkins, Docker, GitHub Actions and pytest . • Troubleshoot data pipeline, performance and production issues and implement sustainable solutions. • Collaborate with business stakeholders, architects and technology teams to understand requirements and deliver data engineering solutions. • Ensure data quality, reliability, security and operational stability across enterprise data platforms. Required Skills • 6+ years of experience in Data Engineering / Big Data Engineering . • Strong hands-on experience with Apache Spark / PySpark . • Strong programming skills in Python and/or Scala . • Good experience with Hadoop, HDFS and Hive . • Experience developing ETL/ELT and data ingestion pipelines . • Strong SQL and data processing skills. • Experience with Azure Databricks, Azure Data Factory, AWS EMR or equivalent cloud data platforms. • Experience with Kafka / real-time streaming is an advantage. • Hands-on experience with Airflow and data pipeline orchestration. • Experience with Snowflake, Teradata, SQL Server or other enterprise databases . • Good understanding of Data Lake, Delta Lake, Data Warehousing and Data Modelling . • Experience with Git, CI/CD, Docker and automated testing .